Evidence map›Paper›PMID 38405619›Full record

ArticleEnvironmental advances2024

Seasonal patterns in trace elements assessed in toenails.

Kaitlyn M Wojcik, Ann Von Holle, Katie M O'Brien, Alexandra J White, Margaret R Karagas, Keith E Levine, Brian P Jackson, Clarice R Weinberg

Open access · goldAbstract read
In one paragraph

Article in Environmental advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Kaitlyn M WojcikBrown School of Social Work and Public Health, Washington University in St. Louis, St. Louis, MO, United States.
Ann Von HolleBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States.
Katie M O'BrienEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States.
Alexandra J WhiteEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States.
Margaret R KaragasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH, United States.
Keith E LevineResearch Triangle Institute International, Research Triangle Park, NC, United States.
Brian P JacksonDepartment of Earth Sciences, Dartmouth College, Hanover, NH, United States.
Clarice R WeinbergBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, United States.
National Institute of Environmental Health Sciences · USDartmouth College · USRTI International · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Environment and Cancer EpidemiologyZIAES103332 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WHITE, ALEXANDRA · 2019 to 2025
$8.9M
The Two Sister StudyZIAES102245 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WEINBERG, CLARICE · 2009 to 2025
$8.6M
NIEHS STATISTICAL CONSULTING SERVICEZ01ES045005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI PEDDADA, SHYAMAL · 1997 to 2008
$741k
STATISTICAL METHODS IN EPIDEMIOLOGY--GENERALZ01ES040006 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WEINBERG, CLARICE · 1997 to 2008
$65k
Intramural NIH HHS Z01 ES040006Intramural NIH HHS Z01 ES045005NCI NIH HHS P30 CA023108
6 · The paper itself

Abstract

backgroundSeasonal patterns in measured exposure biomarkers can cause measurement error in epidemiological studies. There is little research about the seasonality of metals and trace elements when assessed in toenail samples. Adjusting for such patterns in models for estimating associations between long-term exposures and health outcomes can potentially improve precision and reduce bias.

objectivesAssess and describe seasonal patterns in toenail measurements of trace elements.

methodsThe Sister Study enrolled women residing in the US, including Puerto Rico, whose sister had been diagnosed with breast cancer. At the time of enrollment, participants removed nail polish and collected their toenail clippings, which were cleaned before analysis. We considered the following elements: iron, vanadium, aluminum, chromium, manganese, cobalt, nickel, copper, zinc, arsenic, selenium, molybdenum, cadmium, tin, antimony, mercury, and lead. For two subsamples of the cohort, we fit trigonometric regression models with toenail element measures as the outcome, using sine and cosine functions of the collection day (transformed to an angle) to capture seasonal patterns. These models can estimate the amplitude and timing of the peaks in measures. We evaluated the evidence for a seasonal effect by comparing for each measured element the trigonometric model to a model that was constant across time.

resultsThere was a seasonal trend in toenail element concentration for iron, aluminum, vanadium, chromium, manganese, cobalt, arsenic, molybdenum, cadmium, tin, and lead, all of which peaked near mid-August. Seasonal patterns were concordant across two non-overlapping samples of women, analyzed in different labs. DISCUSSION: Given the evidence supporting seasonal patterns for 11 of the 17 elements measured in toenails, correcting for seasonality of toenail levels of those trace elements in models estimating the association between those exposures and health outcomes is important. The basis for higher concentrations in toenails collected during the summer remains unknown.

Indexed as

biasbiomarkersMeasurement errorseasonal patternstoenailsTrace Elements

Identifiers

PMID38405619
PMCPMC10883685
OpenAlexW4391486662

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.